Scientists first described the sickle-shaped red blood cells that give sickle cell disease its name more than a century ago. By the 1950s, the precise molecular and genetic underpinnings of this painful and debilitating condition had become clear, making sickle cell the first “molecular disease” ever characterized. The cause is a single letter “typo” in the gene encoding oxygen-carrying hemoglobin. Red blood cells containing the defective hemoglobin become stiff, deformed, and prone to clumping. Individuals carrying one copy of the sickle mutation have sickle trait, and are generally fine. Those with two copies have sickle cell disease and face major medical challenges. Yet, despite all this progress in scientific understanding, nearly 70 years later, we still have no safe and reliable means for a cure.
Recent advances in CRISPR/Cas9 gene-editing tools, which the blog has highlighted in the past, have renewed hope that it might be possible to cure sickle cell disease by correcting DNA typos in just the right set of cells. Now, in a study published in Science Translational Medicine, an NIH-funded research team has taken an encouraging step toward this goal . For the first time, the scientists showed that it’s possible to correct the hemoglobin mutation in blood-forming human stem cells, taken directly from donors, at a frequency that might be sufficient to help patients. In addition, their gene-edited human stem cells persisted for 16 weeks when transplanted into mice, suggesting that the treatment might also be long lasting or possibly even curative.
Tags: anemia, blood, bone marrow stem cells, Cas9, CRISPR, CRISPR/Cas9, DNA editing, gene editing, genetic blood diseases, genetic engineering, genomics, hemaglobin, hematology, hematopoietic stem cells, human stem cells, immune deficiency, molecular disease, red blood cells, RNA, sickle cell anemia, sickle cell disease, sickle cell triat, sickle mutation, translational medicine
Vaccines are one of biomedicine’s most powerful and successful tools for protecting against infectious diseases. While we currently have safe and effective vaccines to prevent measles, mumps, and a great many other common childhood diseases, we still lack a vaccine to guard against respiratory syncytial virus (RSV)—a leading cause of pneumonia among infants and young children.
Each year, more than 2 million U.S. children under the age of 5 require medical care for pneumonia and other potentially life-threatening lower respiratory infections caused by RSV [1,2]. Worldwide, the situation is even worse, with more than 30 million infections estimated to occur annually, most among kids in developing countries, where as many as 200,000 deaths may result . So, I’m pleased to report some significant progress in biomedical research’s long battle against RSV: encouraging early results from a clinical trial of an experimental vaccine specifically designed to outwit the virus.
Tags: childhood disease, childhood infectious diseases, childhood vaccine, clinical trial, CRADA, genetic engineering, global health, immunity, live vaccine, M2-2 gene, neutralizing antibodies, pneumonia, respiratory diseases, respiratory syncytial virus, RSV, RSV MEDI ΔM2-2, RSV vaccine, translational medicine, vaccine, virology
In recent years, there’s been a lot of talk about how “Big Data” stands to revolutionize biomedical research. Indeed, we’ve already gained many new insights into health and disease thanks to the power of new technologies to generate astonishing amounts of molecular data—DNA sequences, epigenetic marks, and metabolic signatures, to name a few. But what’s often overlooked is the value of combining all that with a more mundane type of Big Data: the vast trove of clinical information contained in electronic health records (EHRs).
In a recent study in Science Translational Medicine , NIH-funded researchers demonstrated the tremendous potential of using EHRs, combined with genome-wide analysis, to learn more about a common, chronic disease—type 2 diabetes. Sifting through the EHR and genomic data of more than 11,000 volunteers, the researchers uncovered what appear to be three distinct subtypes of type 2 diabetes. Not only does this work have implications for efforts to reduce this leading cause of death and disability, it provides a sneak peek at the kind of discoveries that will be made possible by the new Precision Medicine Initiative’s national research cohort, which will enroll 1 million or more volunteers who agree to share their EHRs and genomic information.
Tags: big data, chronic disease, clinical data, cohort, diabetes, diabetes subtypes, diabetic complications, diabetic heart disease, diabetic nephropathy, diabetic neuropathy, diabetic retinopathy, electronic health records, genetic variants, genome-wide analysis, genomics, obesity, precision medicine, Precision Medicine Initiative, translational medicine, type 2 diabetes